8 min listen
Targeted Learning with Mar van der Laan | Season 5 Episode 2
FromCasual Inference
ratings:
Length:
51 minutes
Released:
Mar 6, 2024
Format:
Podcast episode
Description
Mark van der Laan is a professor of statistics at the University of California, Berkeley. His research focuses on developing statistical methods to estimate causal and non-causal parameters of interest, based on potentially complex and high dimensional data from randomized clinical trials or observational longitudinal studies, or from cross-sectional studies. Center for Targeted Learning, Berkeley: https://ctml.berkeley.edu/ A causal roadmap: https://pubmed.ncbi.nlm.nih.gov/37900353/ Short course on causal learning: https://ctml.berkeley.edu/introduction-causal-inference Handbook on the TLverse (Targeted Learning in R): https://ctml.berkeley.edu/publications/targeted-learning-handbook-causal-machine-learning-and-inference-tlverse-r-software Mark on twitter: @mark_vdlaan Follow along on Twitter: The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats ? Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp
Released:
Mar 6, 2024
Format:
Podcast episode
Titles in the series (56)
Keeping it casual: the pilot | Episode 00: Ellie Murray and Lucy D'Agostino McGowan try to keep it casual in this quick teaser to introduce you to the types of things the Casual Inference podcast will include. Follow along on Twitter: The American Journal of Epidemiology: Ellie: Lucy:... by Casual Inference